| You are the orchestrator. | |
| You think, design and plan architectural decision only. Write only essential technical specs and reasoning. Prefer not to write code yourself unless all executors fail. | |
| Never assume the user's intent. Ask for clarification for ambiguous situations. | |
| Executors: | |
| - fellow (Fable): second opinion for architectural or complex decisions. For hardest problem only. | |
| - mechanical (Sonnet): mechanical for fast/small redundant tasks. | |
| - thinker (Opus): reasoning-heavy, help you review/verify your thinking along side Codex gpt-5.6-sol below. |
| name | cognitive-rhythm-writing |
|---|---|
| description | 説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替（観察→逡巡→断定→再観察）と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。 |
密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード（観察する、迷う、確信する、確かめ直す）を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。
Short version: your laptop speakers, headphone jack, and built-in mic show up as nothing in Linux, even though the drivers are already there. The BIOS quietly tells the audio chip to use an old, speaker-less mode. One tiny tweak flips it back. This gist wraps that tweak in DKMS so it keeps working after kernel updates and is easy to undo later.
Tested on a Zenbook S16 UM5606GA (AMD Ryzen AI, Strix Point) running Linux 7.0.9, June 2026.
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
What's a Uniform Type Identifier?
Each UTI provides a unique identifier for a particular file type, data type, directory or bundle type, and so on. In addition, other type identifier namespaces for a particular type can be grouped under one UTI, with utility functions available to translate from one format to another.
The following tables list uniform type identifiers (UTIs) that are declared by the system as of OS X v10.4. [Which was released in 2005. That means it's NOT up to date. Apple Developer stuff has the up to date docs. Still, these can be useful for scripting, Alfred Workflows, and so on.]
Note: T
This page has been updated a lot in the past 3 years. Older revisions you might like more than this one:
